Progression towards online tar detection systems

Capper, S., Khan, Z., Kamble, P., Sharp, J. and Watson, I. (2017) Progression towards online tar detection systems. Energy Procedia, 142, pp. 892-897. (doi:10.1016/j.egypro.2017.12.143)

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Abstract

The most prohibitive aspect with the commercialisation of biomass gasification technology is tar fouling of the product gas. The presence of tar impacts the efficiency of gasification systems and compromises gas quality, rendering it less useful for some downstream applications sensitive to gas quality. Various tar detection methods are reported in the literature which can be differentiated into offline and online techniques. However, offline techniques are found to be time consuming, expansive and require sufficient instrumentation and knowledge to achieve reliable results. Recent advances in online tar detection based on spectral information of individual tar component have attracted much research attention. Among these, fluorescence spectroscopy is a highly promising technique for the provision of distinctive, non-invasive and real time data collection for tar levels which can be easily installed on gasification product gas streams. This paper presents the initial work on developing a low cost tar detection system based on LED induced fluorescence. The detection system mainly consists of a photomultiplier tube (PMT), LED (emission wavelength of 280 nm) and 300 nm longpass colour glass filter. Initial experiments have been carried out with different concentrations (0 to 100 wt%) of phenol (used as a model tar compound) and bio-oil samples from an in-house, downdraft (throated) fixed bed gasification system. The results show a linear increase of fluorescence with phenol and the gasifier bio-oil at different concentrations.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kamble, Mr Prashant and Capper, Sean and Sharp, Dr James and Khan, Dr Zakir and Watson, Dr Ian
Authors: Capper, S., Khan, Z., Kamble, P., Sharp, J., and Watson, I.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Energy Procedia
Publisher:Elsevier
ISSN:1876-6102
Published Online:31 January 2018
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in Energy Procedia 142: 892-897
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
676521Real time control of gasifiers to increase tolerance to biomass variety and reduce emissionsIan WatsonEngineering and Physical Sciences Research Council (EPSRC)EP/M01343X/1ENG - ENGINEERING SYSTEMS POWER & ENERGY